Evidence map›Paper›PMID 18607695›Full record

ArticlePharmaceutical research2008

Methods to account for inaccuracies in the dosing history when performing population pharmacokinetic analysis.

Venkata V Pavan Kumar, Stephen B Duffull

Abstract read
PubMed Publisher
In one paragraph

Article in Pharmaceutical research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Challenges faced when modeling clinical toxicology and toxinology events.CPT: pharmacometrics & systems pharmacology · 2022
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Venkata V Pavan KumarSchool of Pharmacy, University of Otago, Dunedin, New Zealand. pavan.kumar@otago.ac.nz
Stephen B Duffull

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo develop and assess methods to account for missing dose history (MDH).

methodsA simulation study was performed with different doses, dose times and formulations using NONMEM. Four methods were used to account for MDH, these were the ideal dose method (IDM) which uses the actual dose history, the concentration minimum method (CMM) which assumes that the nominal dose history is accurate, the extrapolation subtraction method (ESM) which estimates the residual concentration at the time of the study dose and the concentration time method (CTM) where the time of the previous dose event is estimated. The CTM is a new method.

resultsThe CTM was superior to ESM and CMM and provided parameter estimates that were comparable in accuracy to the IDM.

conclusionsWhen the nominal dosing history is available then the CTM is a simple and effective method to account for potential inaccuracies in the dose history.

Indexed as

PharmacokineticsComputer SimulationHumansModels, BiologicalPharmaceutical PreparationsPharmaceutical Preparations

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.